CS1

5.0 (17 ratings)

Instructor: Rakesh Gupta

Language: English

Valid Till: 2023-04-25

₹22420 6% OFF

₹21000 including 18% GST

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Actuarial Statistics (CS1)

The aim of Actuarial Statistics (CS1) is to provide a grounding in mathematical and statistical methods that are of relevance for actuarial work. It equips the student with knowledge of statistical distributions, methods to summarize data, the principles of statistical inference, regression models (including generalised linear models) and the fundamental concepts of Bayesian statistics. The subject includes both theory and application of the ideas using R.

Exam format: 3 hours and 15 minutes paper-based exam, plus 1 hour and 45 minutes computer-based exam on 'R'

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Live Doubt Class Wed/Fri 7:00 pm and Sun 8:30am
	Doubt
INTRODUCTION
	CS1 Demo Video
1. Data Analysis
	Theory, will discuss in live class
2.Random Variable and Distributions
	CS1.2 Discrete RV	Preview
	CS1.2 Discrete RV
	CS1.2 Continuous Random Variable	Preview
	CS1.2 Continuous RV
	CS1.2 Test1 RV
	CS1.2 Discrete Distribution
	CS1.2 Discrete Distribution Assignment
	CS1.2 Poisson Distribution
	CS1.2 Test Discrete Dist.
	CS1.2 Continuous Distribution
	CS1.2 Normal Dist.
	CS1.1 Continuous Distribution
	CS1.2 Simulation
	CS1.2 Test Cont. Dist.
	CS1.2 Test 4
3.Generating functions
	CS1.3 Part 1
	CS1.3 Part 2
	CS1.3 Assignment
	CS1.3 Test 1
	CS1.3 Test 2
4.Joint Distributions
	CS1.4 Part 1
	CS1.4 Part 2
	CS1.4 Part 3
	CS1.4 Test
	CS1.3&4 Test 2
5.Conditional Expectations
	CS1.5 Part 1
	CS1.5 Test
6.The Central Limit Theorem
	CS1.6 Part 1
	CS1.6 Part 2
	CS1.6 Test
	CS1.6 Test 2
7.Random Sampling and sampling distributions
	CS1.7 Part 1
	CS1.7 Test
8.Estimation and estimators
	CS1.8 Part 1
	CS1.8 Part 2
	CS1.8 Part 3
	CS1.8 Test
	CS1.8 Test 2
9.Confidence intervals
	CS1.9 Part 1
	CS1.9 Part 2
	CS1.9 Part 3
	CS1.9 Test
10.Hypothesis Testing
	CS1.10 Part 1
	CS1.10 Part 2
	CS1.10 Part 3
	CS1.10 Part 4
	CS1.10 Test
11.Correlation
	CS1.11 Part 1
	CS1.11 Part 2
	CS1.11 Test
12.Linear regression
	CS1.12 Part 1
	CS1.12 Part 2
	CS1.12 Part 3
	CS1.12 Part 4
	CS1.12 Test
13.Generalised Linear Models
	CS1.13 Part 1
	CS1.13 Part 2
	CS1.13 Part 3
	CS1.13 Part 4
	CS1.13 Test
14.Bayesian Statistics
	CS1.14 Part 1
	CS1.14 Part 2
	CS1.14 Test
15.Credibility theory
	CS1.15 Part 1
	CS1.15 Test
16.EBCT
	CS1.16 Part 1
	CS1.16 Part 2
R classes
	Foundation course
	1. How to download R and R studio
	2. How to start using R Studio
	3.how to define variable in R
	R_Material_FT
	4. Vector
	5.Function and Matrix
	Assignment: Basic of R
	Solution: Basic Assignment of R
	Matrix Assignment
	6.Loops in R
	Function Assignment
	Google Drive Link for CS1 Files
	7.How to Import a file in R
	8.Data Frames
	9.Graphical plot
	R_Graph
	Chapter 1
	CS1B.1 Probability Distribution
	CS1B.1 Prob Dist. Part 2
	CS1B.1 Discrete Distribution Assign
	CS1B.1 Discrete Sol
	CS1B.1 Binomial
	CS1B.1 Continuous Dist. Assignment
	CS1B.1 Continuous Dist Solution
	CS1B.1 Assignment
	CS1B.1 Test
	Chapter 5
	CS1B.5 Central Limit Theorem
	CS1B.5 Cheat Sheet
	Chapter 6
	CS1B.6 Part 1
	CS1B. 5 & 6 Assignment
	CS1B.5&6 Solution
	Chapter 7
	CS1B.Point Estimation
	CS1B.7 Bootstrap
	CS1B.7 Assignment
	CS1B.7 Solution
	Chapter 8
	CS1B.8 Confidence Interval
	CS1B.8&9 Assign-1
	Chapter 9
	CS1B.9 Hypothesis Testing
	CS1B.9 Goodness of fit
	CS1B.9 Contingency table
	CS1B.Permutation Test
	CS1B.8&9 Assign -2
	CS1B.8&9 Solution-2
	Chapter 10
	CS1B.10 Data Analysis
	CS1.10 Assignment
	Chapter 11
	CS1B.11 Linear Regression
	CS1B.11 Multiple Regression
	CS1B.11 PCA
	CS1B.11 Assignment
	CS1B.11 Solution
	CS1B.11 Cheat Sheet Regression
	Chapter 12
	CS1B.12 GLM-1
	CS1B.12 GLM-2
	CS1B.12 Assignment
	CS1B.12 Solution
	CS1.12 Cheat Sheet Multiple & GLM
	Chapter 13& 14
	CS1B.13 Bayesian Estimation
	CS1B.13 Assignment (new question)
	CS1B.13 Sol
	Chapter 15
	CS1B.15 EBCT
	CS1B.15 Cheat Sheet
	Extra
	CS1 B April 2019 Exam
	CS1B.8 Cheat Sheet
	Doubt

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Actuarial Statistics (CS1)